class_docstr: A Python lexer recognizing Numerical Python builtins.
  
  .. versionadded:: 0.10
code: def get_tokens_unprocessed(self, text):
      for index, token, value in PythonLexer.get_tokens_unprocessed(
          self, text
      ):
          if token is Name and value in self.EXTRA_KEYWORDS:
              yield index, Keyword.Pseudo, value
          else:
              yield index, token, value
  
imports: import re
  from pygments.lexer import Lexer, RegexLexer, include, bygroups, using, default, words, combined, do_insertions
  from pygments.util import get_bool_opt, shebang_matches
  from pygments.token import Text, Comment, Operator, Keyword, Name, String, Number, Punctuation, Generic, Other, Error
  from pygments import unistring
label_desc: Use image node_id 1 for calling the NumPyLexer obj's underlying member method code with example usage: obj.get_tokens_unprocessed(text) without return types